Artificial Intelligence Applications in Quality Management System: A Bibliometric Study

被引:3
|
作者
Minglana, Johanna [1 ,2 ]
Tobias, Rogelio Ruzcko [1 ,3 ]
Roxas, Rachel Edita [4 ]
机构
[1] Qual Management Off, Manila, Philippines
[2] Natl Univ, Coll Educ Arts & Sci, Manila, Philippines
[3] Natl Univ, Coll Engn, Manila, Philippines
[4] Natl Univ, Coll Comp & Informat Technol, Manila, Philippines
来源
2021 IEEE REGION 10 CONFERENCE (TENCON 2021) | 2021年
关键词
artificial intelligence; bibliometrics; ISO 9001:2015; Industry; 4.0; Quality; quality management system;
D O I
10.1109/TENCON54134.2021.9707340
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a systematic literature review and bibliometric analyses of publications in the field of Quality Management System (QMS) by authors who applied artificial intelligence (AI) in ISO 9001:2015 audits. Scopus-indexed papers that were published from 1998 to 2021 were evaluated based on the research publication metrics made available by Scopus. From the 142 extracted Scopus-indexed publications in September 2021, 109 or 76 percent of the publications remained after Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) procedure. Analyses and visualizations using VOSviewer reveal research productivity, affiliation and collaboration networks in various countries, and the corresponding relationship between research networks in the field of AI-enabled QMS. Findings reveal that QMS is leaning towards sustainability, big data, and applied technological innovations.
引用
收藏
页码:947 / 952
页数:6
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